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International Conference on Computer and Communications (ICCC)

作者： Hui Yan Laiding Zhao Gengxin Zhang Cen Ruan Key Laboratory of Broadband Wireless Communication and Sensor Network Technology "Telecommunication and Network" National Engineering Research Center Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781665409513

There are many methods and principles of satellite interference source location, but no matter which method is chosen, the positioning equation is nonlinear. Therefore, it is very important to solve the nonlinear equations accurately for the accuracy of the final positioning results. In this paper, an improved particle swarm optimization (PSO) algorithm is proposed. Based on the combination of PSO and grid search algorithm, the precision requirement is set in the iterative stop condition. When the calculation results meet the set precision, iteration can be stopped. Compared with the ordinary particle swarm optimization algorithm, the results can be obtained more quickly and accurately.

关键词： Satellites Nonlinear equations Military computing Interference Position measurement Iterative algorithms Mathematical models

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Scale adaptive block target tracking based on multi-layer convolution features and Kernel correlation filter

Scale adaptive block target tracking based on multi-layer co...

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2020 International Symposium on Automation, Information and Computing, ISAIC 2020

作者： Zhang, Ting Hu, Dong Zhang, Jing Jiangsu Province’s Key Lab of Image Procession and Image Communications Nanjing210003 China Education Ministry’s Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China Education Ministry’s Engineering Research Center of Ubiquitous Network and Heath Service Nanjing University of Posts and Telecommunications Nanjing210003 China

Target tracking is currently a hot research topic in Computer Vision and has a wide range of use in many research fields. However, due to factors such as occlusion, fast motion, blur and scale variation, tracking method still needs to be deeply studied. In this paper, we propose a block target tracking method based on multi-convolutional layer features and Kernel correlation filter. Our method divides the tracking process into two parts: target position estimation and target scale estimation. First, we block the target frame based on the condition number. Second, we extract the features by the convolutional layer and apply it to the kernel correlation filter to get the center position of different block targets. With the reliability of different blocks measured by the Barker coefficient, the overall target position center is obtained. Then, the affine transformation is adopted to achieve the scale adaptation. The algorithm in this paper is evaluated by the public video sequences in OTB-2013. Numerous experimental results demonstrate that the proposed tracking method can achieve target scale adaptation and effectively improve the tracking accuracy. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Target tracking

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Joint DBF and SAO parallel filtering based on multithread load balancing

Joint DBF and SAO parallel filtering based on multithread lo...

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2020 International Symposium on Automation, Information and Computing, ISAIC 2020

作者： Ma, Hao Hu, Dong Li, Yi Jiangsu Province’s Key Lab of Image Procession and Image Communications Nanjing210003 China Education Ministry’s Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China Education Ministry’s Engineering Research Center of Ubiquitous Network and Heath Service Nanjing University of Posts and Telecommunications Nanjing210003 China

This paper presents a joint parallel loop filtering algorithm based on multi-thread load balancing in HEVC decoding, which implements the parallel processing of deblocking filtering (DBF) and sample adaptive compensation (SAO). Because of the diversity of video, the texture of different regions in an image is also different, which leads to various CTU partition methods. Therefore, the number of the boundary to be filtered is greatly different, resulting the computation load among multiple threads unbalanced in parallel processing. To solve this problem, an area division scheme is proposed, which divides the image into multiple areas, and the number of boundaries to be filtered in each area is similar. Then, the mapping relationship table is used to allocate these areas to multiple threads for parallel processing, so as to achieve the load balancing among the filtering threads. Finally, the cache technology is used to combine DBF and SAO to reduce the delay between them and improve the overall parallelism of the loop filter. Experimental results show that the performance of the proposed load balancing joint filtering algorithm is 8.15% higher than the previous scheme. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Textures

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Perovskite light-emitting/detecting bifunctional fibres for wearable LiFi communication

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Light(Science & Applications) 2020年第1期9卷 441-449页

作者： Qingsong Shan Changting Wei Yan Jiang Jizhong Song Yousheng Zou Leimeng Xu Tao Fang Tiantian Wang Yuhui Dong Jiaxin Liu Boning Han Fengjuan Zhang Jiawei Chen Yongjin Wang Haibo Zeng MIIT Key Laboratory of Advanced Display Materials and Devices Institute of Optoelectronics&NanomaterialsSchool of Materials Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China Peter Grünberg Research Center Laboratory of Broadband Wireless Communication and Sensor Network TechnologyMinistry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China

Light fidelity(LiFi),which is emerging as a compelling technology paradigm shifting the common means of highcapacity wireless communication technologies,requires wearable and full-duplex compact design because of its great significance in smart wearables as well as the‘Internet of Things’.However,the construction of the key component of wearable full-duplex LiFi,light-emitting/detecting bifunctional fibres,is still challenging because of the conflicting process between carrier separation and recombination,as well as the highly dynamic film-forming ***,we demonstrate light-emitting/detecting bifunctional fibres enabled by perovskite QDs with hybrid *** hybrid perovskite inks endow fibres with super-smooth QD ***,combined with the small exciton binding energy and high carrier mobility of perovskite QDs,enables successful integration of electroluminescence and photodetection into *** bifunctional fibres possess the narrowest electroluminescence full width at half maximum of ~19 nm and,more importantly,the capability for simultaneously transmitting and receiving *** successful fabrication of narrow emission full-duplex LiFi fibres paves the way for the fabrication and integration of low crosstalk interoperable smart wearables.

关键词： process perovskite functional

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Manipulation of Valley-Pseudospin in 2d Wte2/CrI3 Van Der Waals Heterostructure by Magnetic Proximity Effect

SSRN

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SSRN 2023年

作者： Zhang, Wenli Zhu, Haoran Zhang, Wenqi Wang, Jing Zhang, Tiantian Yang, Shiru Shao, Bin Zuo, Xu College of Electronic Information and Optical Engineering Nankai University Tianjin300350 China Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology Nankai University Tianjin300350 China Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tianjin Tianjin300350 China Engineering Research Center of Thin Film Optoelectronics Technology Ministry of Education Tianjin300350 China

Lifting the valley degeneracy is an essential condition for exploiting the valley degrees of freedom to process and store information in valleytronics. The magnetic proximity effect (MPE) has been proven to be an effective method for introducing a magnetic field via interlayer exchange interaction, which can be conveniently achieved by two-dimensional (2D) van der Waals (vdW) heterostructure engineering. We have investigated the electronic properties and valley physics of 2D WTe2/CrI3 heterostructure using first-principles calculations. The results show that a significant valley splitting of 34.01 meV can be obtained in the WTe2/CrI3 heterostructure due to the simultaneous breaking of inversion and time-reversal symmetry, which sensitively depends on the atomic overlap of the projected position in the specific stacking model. In addition, we also show that the valley splitting can be enhanced by applying a vertical external electric field (E-field) or reducing the interlayer distance. More than that, it can be boosted by an order of magnitude (~ 115.25 meV) through Cr ion intercalation. This is attributed to that the self-intercalated Cr ion has ferromagnetic ordering and perpendicular magnetic anisotropy. This result provides fundamental insights and valuable guidance for the application of 2D WTe2/CrI3 heterostructure in novel spintronic and valleytronic devices. © 2023, The Authors. All rights reserved.

关键词： Degrees of freedom (mechanics)

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research on photovoltaic power generation based on multi-channel PID 2

Research on photovoltaic power generation based on multi-cha...

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2nd IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021

作者： Liu, Juan Hu, Xusheng Zheng, Rui Ma'Anshan Technical College Department of Electrical Engineering Ma'anshan China Wanjiang University of Technology Ma'Anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Ma'anshan China Anhui Normal University Anhui Provincial Engineering Laboratory on Information Fusion and Control of Intelligent Robot Wuhu China

ISBN: (纸本)9781728190181

In order to improve the utilization efficiency of solar energy, based on the in-depth study of the characteristics of solar energy, a control scheme based on daily motion trajectory was designed. In this scheme, single chip microcomputer is used as the controller to realize the output of SPWM waveform, and the compound PID with multiplexing selection is used to control the Angle of solar panel, so as to achieve the effect of fast and sensitive tracking of solar illumination. Through the angle sensor, on-line monitoring of the angle data of the solar panel, according to the intelligent control optimization algorithm, combined with single-chip microcomputer control technology, a more optimized control scheme is proposed. The experimental data show that the design effect is good and the expected control goal is achieved. © 2021 IEEE.

关键词： Solar energy

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Sequential 3→1 quantum random access code utilizing unsharp measurements

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Chinese Optics Letters 2021年第11期19卷 133-137页

作者： Zhiguang Pang Jiang Gao Tianlei Hou Min Wei Jian Li Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications(NUPT)Nanjing 210003China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education NUPTNanjing 210003China Telecommunication and Networks National Engineering Research Center NUPTNanjing 210003China

Quantum random access codes(QRACs) are important communication tasks that are usually implemented in prepare-andmeasure scenarios. The receiver tries to retrieve one arbitrarily chosen bit of the original bit-string from the code qubit sent by the sender. In this Letter, we analyze in detail the sequential version of the 3 → 1 QRAC with two receivers. The average successful probability for the strategy of unsharp measurement is derived. The prepare-and-measure strategy within projective measurement is also discussed. It is found that sequential 3 → 1 QRAC with weak measurement cannot be always superior to the one with projective measurement, as the 2 → 1 version can be.

关键词： quantum random access codes unsharp measurement prepare-and-measure scenario

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Design of Safety Monitoring System for Electrical Laboratory in Colleges and Universities under the Background of Informatization

Design of Safety Monitoring System for Electrical Laboratory...

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2021 International Symposium on Advances in Informatics, Electronics and Education, ISAIEE 2021

作者： Liu, Huahui Liu, Juan Hu, Xusheng Research Center for Wireless Sensor Network and Intellisense Ma'Anshan Engineering Technology Ma'anshan243031 China Key Laboratory of Unmanned Aerial Vehicle Development Data Application of Anhui Higher Education Institutes Wanjiang University of Technology Ma'anshan243031. China Ma'Anshan Technical College Ma'anshan243030 China

ISBN: (纸本)9781665478748

With the development of economic globalization, information technology has made great progress, and artificial intelligence technology has been widely used, such as car driving, robot automatic steering, rescue and disaster relief robot, underwater robot and so on. However, in the laboratory management of colleges and universities, the application of artificial intelligence is insufficient, and the traditional management mode is backward. Some universities still adopt manual management mode, which not only has high labor cost, but also has a large management gap, resulting in too many potential safety hazards, which is not conducive to the safety management of university laboratories. The market urgently needs to realize the combination of laboratory management and artificial intelligence. As a Key Laboratory of engineering, the electrical laboratory carries out and sets up multiple experimental courses according to the discipline training requirements. As an Engineering University, the course content spans multiple grades, faces more students and covers multiple majors in two colleges. It can be imagined that the experimental courses opened in the electrical laboratory basically take the power supply as the carrier, in this way, the requirements for students are very high. If the electrical experiment is misoperated or caused by emergencies, the risk is great and the accidents are very sudden. Based on the above situation, it fully shows that higher requirements are put forward for the safety management of the electrical laboratory and the management will be more difficult. In recent years, discipline construction has been paid more and more attention, but with the frequent occurrence of laboratory accidents, the fire safety related to the laboratory has attracted more and more attention. For the application-oriented laboratory in Colleges and universities, we must raise awareness, strengthen safety prevention, and strengthen the management of laboratory fire safet

关键词： Laboratories

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Traffic Matrix Prediction in SDN based on Spatial-Temporal Residual Graph Convolutional network

Traffic Matrix Prediction in SDN based on Spatial-Temporal R...

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Chinese Control and Decision Conference, CCDC

作者： Xintong Wang Yibo Sun Xuan Wang Enliang Wang Zhixin Sun Post Big Data Technology and Application Engineering Research Center of Jiangsu Province Nanjing University of Posts and Telecommunications Nanjing P.R. China Post Industry Technology Research and Development Center of the State Posts Bureau (Internet of Things Technology) Nanjing University of Posts and Telecommunications Nanjing P.R. China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing P.R. China School of Information Technology and Electrical Engineering The University of Queensland Brisbane Brisbane Australia

Traffic prediction is the basis for dynamic network services and resource optimization. Software Defined networking (SDN) provides a global view for network measurement and management, and a reliable way for network information collection and network traffic prediction. Recently, SDN traffic prediction model enabled by deep learning mainly focuses on mining the temporal correlation of traffic data, while the modeling of its spatial correlation remains to be explored. From the perspective of the problem, a novel Spatial-Temporal Residual Graph Convolutional network (STRGCN) model for SDN Traffic Matrix (TM) prediction is proposed. Combined with SDN network topology, TM prediction is defined as time series data prediction in non-Euclidean space. Temporal Gated-Conv Blocks are based on Gated Convolutional Layer, and Spatial Graph-Conv Blocks are based on Graph Convolutional network (GCN). Through identity mapping between Spatial-Temporal Conv Blocks, the deep spatial and temporal features extraction is implemented. Tested by TM data from CERNET and GÉANT datasets, the accuracy and the timely performance of our model are evaluated. Experimental results suggest that the general performance of STRGCN for TM prediction in SDN is superior to the current deep learning models.

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LQR Control Method based on Improved Antlion Algorithm

LQR Control Method based on Improved Antlion Algorithm

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Chinese Control Conference (CCC)

作者： Zhe Sun Zhi Wen Lei Xu Guangfu Gong Xiangpeng Xie Zhixin Sun Post Industry Technology Research and Development Center of the State Posts Bureau (Internet of Things Technology) Nanjing University of Posts and Telecommunications Nanjing P.R. China Post Big Data Technology and Application Engineering Research Center of Jiangsu Province Nanjing University of Posts and Telecommunications Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing P.R. China Anhui Yougu Express Intelligent Technology Co. LTD Nanling Anhui P.R. China

In the face of the increasing demand of crane transportation speed and stability, an improved Ant-lion algorithm is proposed in this paper. On the original basis, the quasi-reverse learning method is used to improve the stability of the algorithm and make the initial data distributed evenly. Furthermore, an elite ant-lion growth mechanism is introduced to accelerate the convergence speed of the simulation and improve the simulation accuracy. Finally, the proposed algorithm is verified in the double pendulum system of crane based on LQR controller, and the feasibility and effectiveness of the proposed algorithm are proved by experiments.

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